Mentoring and Responsive Learning through Intelligent Nautical Skill-modeling, Prompting, Intervention, and Feedback during Independent Exercises (MAR

The safety and operational success of the US Navy’s fleet depends on the expert ship handling skills of its Surface Warfare Officers (SWOs). To address these challenges, Charles River Analytics and University of Nevada Reno (UNR) propose to develop and integrate a full-scope prototype of the Mentoring and Responsive Learning through Intelligent Nautical Skill-modeling, Prompting, Intervention, and Feedback during Independent Exercises (MARLINSPIKE) system with the NAWC-TSD Mariner Skills Suite (MSS) training simulation. MARLINSPIKE features: (1) a scenario generation and director agent using search-based experience management to project potential training outcomes and plan training scenario elements from high-level, quick-to-author specifications; (2) Charles River Analytics’ Hap reactive planning architecture to make realistic and reactive high-level decisions for each ship; (3) UNR’s ship movement controller using rules of the road and velocity obstacles to navigate ships through traffic and around obstacles to meet the high-level decisions; and (4) NAWC-TSD MSS simulation to enable ease of integration and rapid iteration on development prototypes, transitioning toward Navy MSS applications and other NSST training simulations. Building on our Phase II successes, this Phase II-2 effort focuses on the extension and application of MARLINSPIKE technology to MSS and integration with emerging automatic trainee assessment and adaptation efforts.